Course Outline
Introduction to Big Data Ecosystems
- Survey of big data technologies and system architectures
- Comparing batch processing with real-time processing
- Scalable data storage strategies
Advanced Data Processing with Apache Spark
- Techniques for optimizing Spark job performance
- Utilizing advanced transformations and actions
- Implementing structured streaming
Machine Learning at Scale
- Methods for distributed model training
- Performing hyperparameter tuning on large datasets
- Deploying models within big data environments
Deep Learning for Big Data
- Integrating TensorFlow and PyTorch with Spark
- Building distributed deep learning training pipelines
- Applications in image, text, and time-series analysis
Real-Time Analytics and Data Streaming
- Using Apache Kafka for streaming data ingestion
- Working with stream processing frameworks
- Monitoring and alerting mechanisms in real-time systems
Data Governance, Security, and Ethics
- Meeting data privacy and compliance requirements
- Implementing access control and encryption in big data systems
- Ethical considerations in large-scale analytics
Integrating Big Data with Business Intelligence
- Data visualization and dashboarding for big data
- Linking big data pipelines to BI tools
- Achieving business outcomes through advanced analytics
Summary and Next Steps
Requirements
- A solid grasp of data analysis principles and statistical modeling concepts.
- Proficiency in data processing tools and programming languages such as Python, R, or Scala.
- Working knowledge of distributed computing frameworks like Hadoop or Spark.
Intended Audience
- Data scientists looking to excel in large-scale data processing and predictive analytics.
- Senior analysts who aim to build and implement sophisticated analytical workflows.
- R&D specialists dedicated to developing innovative, data-driven solutions.
Testimonials (3)
Learning that the QGIS and a tool that can used by other different professionals such land survey
Bame Duncan Koko - Bentel Technologies (Pty) Ltd
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How to use open satellites data for real applications
Tshering Dorji - Druk Holding and Investments
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Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.